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Accelerated Data Science with Python Polars
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Classroom Contents
Data Science Simplified - Pandas, NumPy, Matplotlib, Machine Learning, and Database Tutorials
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- 1 Basic Guide to Pandas! Tricks, Shortcuts, Must Know Commands! Python for Beginners
- 2 Much Better Web Scraping with Pandas - Automatically Extract All Table Elements From a Web Page!
- 3 Web Scraping Databases with Mechanical Soup and SQlite
- 4 Make Graphs with Pandas in Less Than 10 Minutes
- 5 Plotting Google Trends Graphs with Matplotlib & Pandas
- 6 Train Basic Neural Network with Numpy and Pandas - AI programming for beginners
- 7 ML Datasets and How to Access them with Pytorch - MNIST Tutorial
- 8 Ultimate Guide to Datetime! Python date and time objects for beginners
- 9 Ultimate Guide to NumPy Arrays - VERY DETAILED TUTORIAL for beginners!
- 10 NumPy Operations - Ultimate Guide to Methods and Functions for Beginners!
- 11 Cross Entropy Loss Error Function - ML for beginners!
- 12 List Comprehension - BEST Python feature !!! Fast and Efficient
- 13 Dictionary Comprehension - Create Complex Data Structures Step by Step
- 14 Zip Vs Range - Which is Faster? Benchmarking YOUR code suggestions too!
- 15 Get Dynamic Bitcoin Data in REAL TIME with Python - Intro to Deephaven - LINUX OS!!!
- 16 SQLite Backend for Beginners - Create Quick Databases with Python and SQL
- 17 Read Giant Datasets Fast - 3 Tips For Better Data Science Skills
- 18 Docker Simply Explained with a Machine Learning Project for Beginners
- 19 Much Faster Pandas with cuDF GPU Processing - CPU vs GPU Speed Benchmarks
- 20 Accelerated Data Science with Python Polars
- 21 S&P 500 Stock Prediction Data Dashboard GUI App
- 22 Linear Regression Algorithm with Code Examples - ML for Beginners!
- 23 Simple Machine Learning Code Tutorial for Beginners with Sklearn Scikit-Learn
- 24 Faster Scikit-learn on GPU with NVIDIA cuML - Tutorial and Benchmarks
- 25 Certified by... NVIDIA?! 😱 How I Did It & How You Can Do It Too!
- 26 Build Real ML Model That Predicts Taxi Tips with XGBoost and NVIDIA GPU 🧠⚡
